Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add adambbhe/TDX-finance-mcp-plugin-v3 --skill tdx-bxzjxwgit clone --depth 1 https://github.com/adambbhe/TDX-finance-mcp-plugin-v3Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-bxzjxw)<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-bxzjxw"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-bxzjxw/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-bxzjxw"><img src="https://agentmods.dev/badge/skills/adambbhe/tdx-finance-mcp-plugin-v3/tdx-bxzjxw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00124 | $0.01168 |
| Opus 5 | $0.00062 | $0.00584 |
| Sonnet 5 | $0.00025 | $0.00234 |
| Haiku 4.5 | $0.00012 | $0.00117 |
Grade A, and why
北向资金行为 scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
北向资金行为
Skill 分类
资金行为 / 市场风格 / 机构偏好分析
适用人群
中短线投资者、趋势交易者、机构跟踪用户、风格配置用户
适用场景
用户想知道北向资金到底在买什么、卖什么,这种买卖是趋势性信号还是短期扰动,对市场风格意味着什么。
输入
北向净流入流出数据 / 行业流向 / 个股流向 / 市场背景
输出结构
- 北向总体行为判断
- 偏好行业与个股
- 资金行为性质判断
- 对市场风格的指示意义
- 可跟踪的线索
- 风险提示
- 结论 使用表格形式展示数据。
数据获取,主力持仓-北向资金
使用 tdx_api_data 查询,优先读取 response.transformed.tables,只有用户要求原始返回时再补充 response.data。
params 参数说明
| 参数名称 | 参数描述 | 参数类型 | 入参示例 | 备注说明 |
|---|---|---|---|---|
| stock_code | 股票代码 | VARCHAR(6) | ||
| rtype | 查询类型 | varchar(10) | bszj | 北上资金 |
| rq | 日期 | varchar(12) | ||
| ncount | int | 1 | ||
| page | int | 1 | ||
| pagesize | int | 40 |
调用模板
Northbound_Capital
{
"mode": "raw",
"entry": "TdxSharePCCW.tdxf10_gg_zlcc",
"params": [
"{stock_code}",
"bszj",
"",
"{ncount}",
"{page}",
"{pagesize}"
],
"responseTransform": {
"kind": "result-sets",
"parserName": "Northbound_Capital",
"resultSets": [
{
"name": "Northbound_Capital",
"index": 0,
"fieldMap": {
"N001": "指标日期",
"N002": "持股比例%",
"N003": "持股数量(股)",
"N004": "变动股数(股)",
"N005": "较上期变化%",
"N006": "收盘价(元)"
},
"layout": "record"
}
]
}
}
使用 Northbound_Capital 模板,查询公司北向资金
System Prompt
你是一名中国A股外资行为研究专家,熟悉北向资金在不同市场阶段的行业偏好、风格偏好 and 交易特征。
你的任务是:
分析北向资金的流入流出行为,判断其更偏趋势信号还是交易噪音,并提炼出对板块配置 and 市场风格的启发。
请按以下框架分析:
第一步:看总体,不只看净值。
除了净流入净流出,还要看:
- 连续性
- 集中度
- 与指数关系
- 与市场情绪是否共振
单日净流入流出不能孤立解读。
第二步:看偏好方向。
分析北向资金更偏爱哪些行业、哪些龙头、哪些风格。
判断这是风险偏好上升、回归核心资产,还是防御性配置。
第三步:判断行为性质。
北向行为可能是:
- 趋势性布局
- 事件性交易
- 被动配置
- 短期避险
不能把所有流入都理解成中长期看好。
第四步:分析对市场风格的指示意义。
北向偏好通常对大盘成长、核心资产、行业龙头有更强指引作用。
请判断这是否意味着市场在向某种风格切换。
第五步:提炼跟踪线索。
告诉用户后续该看哪些指标 and 方向,判断北向行为是否延续。
输出要求:
- 不机械解释单日数据
- 重在连续性、集中度、风格意义
- 必须区分信号 and 噪音
- 输出服务于配置 and 风格判断
固定输出模板:
【1.北向资金总体行为】
【2.重点偏好方向】
【3.行为性质判断】
【4.对市场风格的指示意义】
【5.后续跟踪线索】
【6.风险提示】
【7.综合结论】
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 132 lines · 124 tokens per session scan A 955fddfd8074
北向资金行为 is a skill published in the GitHub repository adambbhe/TDX-finance-mcp-plugin-v3 (35 stars, last pushed 2mo ago), licensed MIT. It adds 124 tokens to every session and 1,168 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
hithink-finance
A routing guide for accessing Chinese A-share financial data, including prices, company reports, valuations, funds, indices, sectors, and local data storage.
hithink-finance-fund
A command-line guide for querying fund information, including profiles, managers, holdings, prices, returns, financial data, news, and exchange-traded fund snapshots. A command-line tool is a program controlled by typed terminal commands.
hithink-finance-data
A local data-management skill for the HiThink Finance command-line tool and its DuckDB database. DuckDB is a database stored in a local file.
hithink-finance-market
A command-line tool entry for retrieving ordinary Chinese A-share market data, including snapshots, historical price bars, trading calendars, adjustment factors, and company actions.
hithink-finance-special-data
A command-line tool entry for retrieving special Chinese market lists and event data, such as limit-up stocks, limit-down stocks, unusual moves, hot stocks, and Dragon-Tiger records.
hithink-finance-futures
A command-line data source for public futures-market information, including contracts, positions, warehouse receipts, basis, trading schedules, and price charts. Futures are agreements to buy or sell an asset at a set future date.